Methods and computer-readable medium for tracking motion

ABSTRACT

In a computer system, methods and computer-readable medium are disclosed for tracking motion of a subject in an activity captured by camera. The camera supplies pluralities of discrete images of the subject to a computing system environment. An event window, displayed on a monitor, has at least two cells for receiving a user input pertaining to an action of the subject in the activity. In a first of the two cells, the user indicates a specific image number corresponding to one of the plurality of discrete images and an estimate of a fractional percent thereof. In the second cell, the user indicates another specific image number and estimate of a fractional percentage thereof. Software calculates a delta between the specific image numbers and their corresponding estimated fractions. Scroll and position bars provide user-aid for navigating between discrete images. Example subjects include horses in a horse race activity while an action includes a horse stride length.

CONTRACTUAL ORIGIN OF THE INVENTION

The United States government has rights in this invention under 35U.S.C. §203 pursuant to a contract, No. DMI-0091510, between theNational Science Foundation government agency and one or more of theinventors or assignees of the one or more inventors.

FIELD OF THE INVENTION

The present invention relates to tracking motion of a subject in anactivity, such as tracking motion of a horse in a horse race. Inparticular, it relates to methods and computer-readable medium fordetermining an action, such as a horse stride length, in an activityhaving been captured by camera. Even more particularly, actions becomedetermined by user input of image numbers from the camera capturedimages and user estimates of fractional percentages of the imagenumbers. In other aspects, users navigate through display monitorwindows by novel scrolling techniques or movement of a positional bar.

COPYRIGHTED MATERIALS

A portion of the disclosure of this patent document contains materialsto which a claim of copyright protection is made. The copyright ownerhas no objection to the reproduction by anyone of the patent document orthe patent disclosure as it appears in the U.S. Patent and TrademarkOffice patent files or records, but reserves all other rights withrespect to the copyrighted work.

BACKGROUND OF THE INVENTION

The art of tracking motion of a subject in an activity with a camera isrelatively well known. In general, a camera captures pluralities ofdiscrete video images (frames) of the activity and each frame becomesanalyzed.

With some motion tracking devices, a two-dimensional grid correspondingto the two-dimensions of the video image frames has data points plottedthereon that correspond to a particular feature of the subject. Forexample, to assess a horse stride length, it is important to know wheneach leg of the horse leaves the ground and when it returns to theground. Thus, a horse's hoof as seen in each video frame may be plottedon the grid and a curve fit to the data points. Often times atransmitter device, which communicates to a receiver associated with acomputing system to which the camera capturing the activity is attached,may be secured to the horse's hoof to assist in providing across-reference for the grid. Other times, reflectors or colorcontrasting devices attach to the horse's hoof.

This technique, however, suffers numerous shortcomings. For instance,each and every frame of the video must supply information about thehorse's hoof to have an effective plot. This makes the technique laborintensive. Still further, the technique suffers because the subject,e.g., horse, may be running in a multi-horse race activity and in everyframe the horse's hoof may not be fully visible. In turn, estimating thehoof position is impractical. Horses are also required to have the sameequipment in a race and thus hoof-transmitters are not acceptabledevices.

Accordingly, the art of motion tracking desires simple yet effectivetechniques for assessing actions of a subject in an activity whilemaintaining practicality.

SUMMARY OF THE INVENTION

The above-mentioned and other problems become solved by applying theprinciples and teachings associated with the hereinafter describedmethods and computer-readable medium for tracking motion.

In one embodiment, the present invention teaches methods for trackingmotion of a subject in an activity captured by camera. The camerasupplies pluralities of discrete images of the subject to a computingsystem environment. An event window, displayed on a monitor in thecomputing system environment, has at least two cells for receiving auser input pertaining to an action of the subject. In a first of the twocells, the user indicates a specific image number corresponding to oneof the plurality of discrete images and estimates and enters a fractionof the specific image number. In the second cell, the user indicatesanother specific image number and another estimated fraction. Usersestimate fractions by comparing between one of the pluralities ofdiscrete images and a one larger discrete image. Users indicate theirpreferences by a single trigger signal, initiated by the click of apointing device in the specific cell or by depressing a button or keystoke which automatically enters the current image number in the cell.An example subject includes a race horse in a horse race activity. Anexample action includes a horse stride length.

In another aspect of the invention, delta values between the user inputsof the two cells become calculated and displayed in another cell of theevent window. Averages of all delta values may also be calculated anddisplayed.

In still another aspect, one or more subjects have profiles compiledfrom the user inputs supplied in the event window. Software compares theprofile(s) against stored profile(s) and indicates a best or hierarchyprofile indicating the best or hierarchy ranking of the subjects.

Techniques for navigating between the pluralities of discrete imagesdisplayed in an image window of a monitor in a computing systemenvironment include configuring a scroll bar to jump to exact specificimage numbers based upon user learned information and/or maneuvering aposition bar in a graphics window.

Computer-readable medium having computer-executable instructions arealso disclosed that perform some or all of the above methods.

These and other embodiments, aspects, advantages, and features of thepresent invention will be set forth in the description which follows,and in part will become apparent to those of ordinary skill in the artby reference to the following description of the invention andreferenced drawings or by practice of the invention. The aspects,advantages, and features of the invention are realized and attained bymeans of the instrumentalities, procedures, and combinationsparticularly pointed out in the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagrammatic view in accordance with the teachings of thepresent invention of a subject in an activity captured by camera;

FIG. 2 is a diagrammatic view in accordance with the teachings of thepresent invention of a composite video frame from the camera of FIG. 1;

FIG. 3 is a diagrammatic view in accordance with the teachings of thepresent invention of a quantization process of a pixel of interest fromthe video frame of FIG. 2;

FIG. 4 is a diagrammatic view in accordance with the teachings of thepresent invention of a composite image frame;

FIG. 5 is a diagrammatic view in accordance with the teachings of thepresent invention of a subject having its motion tracked;

FIG. 6 is a diagrammatic view in accordance with the teachings of thepresent invention of a subject profile/summary being compared to astored profile/summary;

FIG. 7 is an exemplary system in accordance with the teachings of thepresent invention providing a suitable operating environment forcarrying out the tracking of motion of a subject in an activity; and

FIG. 8 is a diagrammatic view in accordance with the teachings of thepresent invention of a scroll bar useful for navigating between discreteimages; and

FIG. 9 is an actual view in accordance with the teachings of the presentinvention from a display monitor of an operating environment showingvarious windows useful in tracking motion of a subject in an activity.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

In the following detailed description of the preferred embodiments,reference is made to the accompanying drawings that form a part hereof,and in which is shown by way of illustration, specific embodiments inwhich the inventions may be practiced. These embodiments are describedin sufficient detail to enable those skilled in the art to practice theinvention, and it is to be understood that other embodiments may beutilized and that process, electrical or mechanical changes may be madewithout departing from the scope of the present invention. The followingdetailed description is, therefore, not to be taken in a limiting sense,and the scope of the present invention is defined only by the appendedclaims and their equivalents. In accordance with the present invention,we hereinafter describe methods and computer-readable medium fortracking motion of a subject in an activity.

Appreciating users of the invention will likely accomplish some aspectof the methods in a computing system environment, FIG. 7 and thefollowing discussion are intended to provide a brief, generaldescription of a suitable computing environment in which either thestructure or processing of embodiments may be implemented. Since thefollowing may be computer implemented, particular embodiments may rangefrom computer executable instructions as part of computer readable mediato hardware used in any or all of the following depicted structures.Implementation may additionally be combinations of hardware and computerexecutable instructions.

When described in the context of computer readable media having computerexecutable instructions stored thereon, it is denoted that theinstructions include program modules, routines, programs, objects,components, data structures, patterns, trigger mechanisms, signalinitiators, etc. that perform particular tasks or implement particularabstract data types upon or within various structures of the computingenvironment. Executable instructions exemplarily comprise instructionsand data which cause a general purpose computer, special purposecomputer, or special purpose processing device to perform a certainfunction or group of functions.

The computer readable media can be any available media which can beaccessed by a general purpose or special purpose computer. By way ofexample, and not limitation, such computer readable media can compriseRAM, ROM, EEPROM, CD-ROM or other optical disk storage devices, magneticdisk storage devices or any other medium which can be used to store thedesired executable instructions or data fields and which can be assessedby a general purpose or special purpose computer. Combinations of theabove should also be included within the scope of the computer readablemedia. For brevity, computer readable media having computer executableinstructions may be referred to as “software” or “computer software”.

With reference to FIG. 7, an exemplary system for implementing theinvention includes a general purpose computing device in the form of aconventional computer 20. The computer 20 includes a processing unit 21,a system memory 22, and a system bus 23 that couples various systemcomponents including the system memory to the processing unit 21. Thesystem bus 23 may be any of the several types of bus structuresincluding a memory bus or memory controller, a peripheral bus, and alocal bus using any of a variety of bus architectures. The system memoryincludes read only memory (ROM) 24 and a random access memory (RAM) 25.A basic input/output system (BIOS) 26, containing the basic routinesthat help to transfer information between elements within the computer20, such as during start-up, may be stored in ROM 24. The computer 20may also include a magnetic hard disk drive, not shown, a magnetic diskdrive 28 for reading from and writing to removable magnetic disk 29, andan optical disk 31 such as a CD-ROM or other optical media. The harddisk drive 27, magnetic disk drive 28, and optical disk drive 30 areconnected to the system bus 23 by a hard disk drive interface 32, amagnetic disk drive interface 33, and an optical drive interface 34,respectively. The drives and their associated computer-readable mediaprovide nonvolatile storage of computer readable instructions, datastructures, program modules and other data for the computer 20.

Although the exemplary environment described herein employs a hard disk,a removable magnetic disk 29 and a removable optical disk 31, it shouldbe appreciated by those skilled in the art of other types of computerreadable media which can store data accessible by a computer includemagnetic cassettes, flash memory cards, digital video disks, removabledisks, Bernoulli cartridges, random access memories (RAMs), read onlymemories (ROM), and the like.

Other storage devices are also contemplated as available to theexemplary computing system. Such storage devices may comprise any numberor type of storage media including, but not limited to, high-end,high-throughput magnetic disks, one or more normal disks, optical disksjukeboxes of optical disks, tape silos, and/or collections of tapes orother storage devices that are store-off line. In general however, thevarious storage devices may be partitioned into two basic categories.The first category is local storage which contains information that islocally available to the computer system. The second category is remotestorage which includes any type of storage device that containsinformation that is not locally available to a computer system. Whilethe line between the two categories of devices may not be well defined,in general, local storage has a relatively quick access time and is usedto store frequently accessed data, while remote storage has a muchlonger access time and is used to store data that is accessed lessfrequently. The capacity of remote storage is also typically an order ofmagnitude larger than the capacity of local storage.

A number of program modules may be stored on the hard disk, magneticdisk 29, optical disk 31, ROM 24 or RAM 25, including an operatingsystem 35, one or more application programs 36, other program modules37, and program data 38. Such application programs may include, but arenot limited to, random generation modules, such as Monte Carlosimulators and graphic modules or modeling modules for generatinggraphics and models for users display, graphical user interfaces, imageprocessing modules, intelligent systems modules (such as neuralnetworks, probablistic surface modelers, biometrics modelers),specialized image tracking modules, camera control modules, cameraacquisition modules, GUI development systems or other. A user may entercommands and information into the computer 20 through input devices suchas keyboard 40 and pointing device 42. Other input devices (not shown)may include a microphone, joy stick, game pad, satellite dish, scanner,or the like. These and other input devices are often connected to theprocessing unit 21 through a serial port interface 46 that couplesdirectly to the system bus 23. It may also connect by other interfaces,such as parallel port, game port, firewire or a universal serial bus(USB). A monitor 47 or other type of display device is also connected tothe system bus 23 via an interface, such as a video adapter 48. Inaddition to the monitor, computers often include other peripheral outputdevices (not shown), such as speakers and printers. Scanner peripheraldevices (not shown) for reading imagery into the computer are often alsoincluded.

During use, the computer 20 may operate in a networked environment usinglogical connections to one or more other computing configurations, suchas a remote computer 49. Remote computer 49 may be a personal computer,a server, a router, a network PC, a peer device or other common networknode, and typically includes many or all of the elements described aboverelative to the computer 20, although only a memory storage device 50having application programs 36 has been illustrated in FIG. 10. Thelogical connections between the computer 20 and the remote computer 49include a local area network (LAN) 51 and/or a wide area network (WAN)52 that are presented here by way of example and not limitation. Suchnetworking environments are commonplace in offices with enterprise-widecomputer networks, intranets and the Internet, but may be adapted foruse in a mobile or on-site manner at multiple and/or changing locations.

When used in a LAN networking environment, the computer 20 is connectedto the local area network 51 through a network interface or adapter 53.When used in a WAN networking environment, the computer 20 typicallyincludes a modem 54, T1 line, satellite or other means for establishingcommunications over the wide area network 52, such as the Internet. Themodem 54, which may be internal or external, is connected to the systembus 23 via the serial port interface 46. In a networked environment,program modules depicted relative to the computer 20, or portionsthereof, may be stored in the local or remote memory storage devices andmay be linked to various processing devices for performing certaintasks. It will be appreciated that the network connections shown areexemplary and other means of establishing a communications link betweenthe computers may be used.

Moreover, those skilled in the art will appreciate that the inventionmay be practiced with other computer system configurations, includinghand-held devices, multi-processor systems, micro-processor-based orprogrammable consumer electronics, network PCs, minicomputers, computerclusters, main frame computers, and the like.

With reference to FIG. 1, the tracking motion methods of the presentinvention are practiced after capturing images by a camera 62 of amoving subject 60 in an activity, such as a horse running in a timetrial or a horse race 70. In general, the camera 62 captures pluralitiesof discrete images, analog or digital, of the subject between some startand finish position. The subject and nature of the activity defines howmany images you need to accurately track a subject's motion and nospecific number is required herein. To facilitate smooth camera panningand tilting during image capture, which ultimately serves to removeimage jitter, the camera 62 may mount on a motorized unit 64 controlledby a computer, such as computer 20. Preferably, although not required,the field of view of the camera adjusts to focus primarily on thesubject and not superfluous images. In other embodiments, however, theinvention contemplates a field of view so large that the camera need notpan or tilt to capture images of the moving subject.

Regarding camera geometry, the camera 62 preferably mounts such that itspan axis is orthogonal to the plane that intersects the ground plane 72in the line 74 in which the subject travels. To facilitate imageevaluation, the distance of the camera 62 from the subject and heightabove/below the linear path of the subject are known and preferablymaintained constant. An additional camera(s) 66 may be coordinated withcamera 62 to provide cross-referenced captured images of the subject.The additional camera(s) 66 may be fixed, i.e., no panning or tilting,or fully moveable.

With reference to FIG. 2, the camera typically captures the subject as aseries of video frames 80 having video frame numbers ranging from1,2,3,4, through n. As is known in the art, each discrete video framecomprises a plurality of pixels 82 having red, green, blue®, G,B)components ranging from 0-255 discrete values arranged as squaresdefined by x-axis and y-axis lines 84. Each individual pixel 82 can belocated by defining a row or column number. As shown, rows range from0,1,2,3, . . . y while columns range from 0,1,2,3, . . . x. Thus, thelocation of pixel 86 corresponds to row 1, column 1. As further known inthe art, each video frame 1,2,3,4, . . . n is a compilation of two videofields (indicated by the equal sign and plus sign between video field 1and video field 2). Those skilled in the art will appreciate video field1 only comprises pixels 82 containing columns and even-numbered rowswhile video field 2 only comprises pixels 82 containing columns andodd-numbered rows.

To arrive at a preferred image suitable for practicing the presentinvention, each pixel of the video frame 80 has a new R, G, B valuecomputed by ignoring its video frame R, G, B value and averaging the R,G, B values for some or all of its neighboring pixels (indicated byarrows surrounding exemplary pixel 86 at row 1, column 1 in FIG. 3).Thereafter, each new computed R, G, B value becomes compiled and animage frame 90 results. As an example, pixel 86 from FIGS. 2 and 3 getstransformed into pixel 86′ in FIG. 4. Likewise, pixels 82 have becomepixels 82′. Similar to the video frame, the image frame is a compilationof two image fields, image field 1 and image field 2, which correspondto even- or odd-numbered rows and columns of pixels.

Although a preferred image suitable for practicing the invention hasheretofore been described as an image frame 90 derived from video frame80, the invention is not so limited and contemplates tracking motionfrom either the original video frames/fields, the image frames/fields,combinations thereof or other. Thus, the terms “discrete images” or“pluralities of discrete images” in the claims includes any or all ofthe frames/fields previously described and equivalents thereof.

With reference to FIG. 5, the tracking of motion of a subject 60 occursafter the computing system environment receives the pluralities ofdiscrete images 94-1 through 94-6 (having specific image numbers 124,125, 126 and 142,143,144) from a camera capturing the activity of thesubject. As seen in the discrete images, a horse (subject 60)transitions his front lead leg 96 through a series of positions wherehis hoof 98 nears the ground 100 (94-1, 94-4), contacts the ground(94-2, 94-5) and lifts off the ground (94-3, 94-6). To calculate a horsestride length, for example, a person would measure the ground distancetraveled by the horse from a first position where hoof 98 of front leadleg 96 first lifts off the ground to a second position where the samehoof leaves the ground the next sequential time.

With the present invention, however, this horse stride length can now besimply and easily done by entering single- or double-keystroke userinput(s) into cells 102 of an event window 104. As a representativeexample, two data cells 103, 105 of the event window 104 correspondingto the action 110, Front Lead Off, receives user inputs 125.8 and 143.7respectively.

Each of these user inputs pertains to a specific image number from thepluralities of discrete images to the left of the decimal point (i.e.,125 or 143) and an estimate regarding a fraction of the specific imagenumber to the right of the decimal point (i.e., 8 or 7). The enlargeddata cell 105 more clearly depicts the specific image number 143 as 105a and the estimate 7 as 105 b. The specific image number and theestimate together equal an entry in the data cell.

The manner in which a user arrives at both the specific image number andthe estimate includes, first, comparing the plurality of specific imagenumbers and noting the last specific image number in which the hoof 98remains in contact with the ground (specific image number 125 andspecific image number 143) and, second, comparing the image of thatspecific image number with a one larger discrete image (in thisinstance, compare specific images 125 and 126 and specific image numbers143 and 144). Based upon the comparison, a user should input theirestimate of a fraction regarding the fractional percentage of thespecific image number in which they think the hoof completely leftcontact with the ground (in this instance, the user deemed fraction{fraction (8/10)}ths and {fraction (7/10)}ths in data cells 103, 105,respectively, as their estimates). Thereafter, in delta cell 106, adifference between the data cells 103, 105 is computed. In thisinstance, 143.7 minus 125.8 equals 17.9. Then, 17.9 corresponds to thesubject horse's stride length. Appreciating that this process can becontinued for as many actions or cells desired to be calculated, it ispreferred to have more discrete images not less. Still further, the moreframes per second that the subject becomes captured, the better thecalculations. This invention has been successfully practiced withpresent day video format NTSC having a frame rate of about 60fields/second (e.g., 59.94).

In the event the motion tracking process does include additional datacells, a delta average window 108 might be desired in the event window104 to maintain a running average of all delta values calculated in cell106. From this teaching, those skilled in the art should be able toenvision still other types of cells and calculations that would addutility to an event window. Some representative other actions have beendepicted as elements 116 and 118.

In a preferred embodiment, the present invention contemplates a monitorof the computing system to display the event window and a pointingdevice and keyboard to enter user inputs into the cells. A scroll bar120-1, 120-2 may be further added to the event window to allow users toconveniently and easily navigate from one action 110 or cell 102 toanother.

In the event motion tracking were desired for multiple subjects,additional event windows or additional cells within the same eventwindow could be used to track their motion.

Thereafter, once motion of an action has become calculated, the userinput entries contained in the cells are compiled into a subject profileor subject summary 130. As more and more data regarding like subjectsbecomes compiled, a data base of stored profiles or stored summaries 134can be built. In sequence, software can compare 136 the profile(s) 130of the subject(s) against stored profile(s) 134 and indicate a bestprofile or hierarchy profile ranking of the subjects.

With reference to FIG. 9, an actual display screen 175 from a monitor inthe computing system environment shows one preferred embodiment of theevent window 104, attendant cells 102 and scroll bars 120. It also showsa specific image number 48 (indicated by reference number 177) in animage window 179. A graphics window 180 resides beneath the image window179 and shows plots of various motion tracking curves 181, 183 versusthe specific image numbers 185. A position bar 190 defines the specificimage number displayed in the image window 179. In this instance, sincethe specific image number corresponds to 48 (reference number 177), theposition bar 190 resides at 48 between 40 and 50.

To navigate between other specific image numbers, a user can take theirpointing device and simply “hook and drag” the position bar to anydesired position. Alternatively, a user can position their pointingdevice, at position X, for example, click their pointing device andwitness the change in both the position bar 190 being displayed atposition X and watch the specific image number change. In this instance,since position X resides at specific image number 70, the position bar190 would line-up over the 70 and the discrete image in the image windowwould change to specific image number 70, instead of 48.

In other embodiments, users can navigate between discrete images byutilizing novel features of their scroll bar 120. With reference to FIG.8, the scroll bar 120 has directional adjustment arrows 151, 153 and aslide 155. Users can change the specific image being displayed on theimage window by either “clicking” their pointing device on thedirectional adjustment arrows (arrow 151 causing a decrease in specificimage numbers and arrow 153 causing an increase), hooking and draggingthe slide 155 to some increased or decreased specific image number or byindicating a preference by positing their pointing device at positions Y(between the directional arrow 151 and the slide 155) or Z (between theslide 155 and the directional arrow 153), for example, and clicking.Appreciating users will over time learn how far away, in specific imagenumbers, the next desired specific image resides, users can set anOPTIONAL FIELD (under the Options drag menu in FIG. 9) to move the slide155 to that exact number of specific images. For example, if a userlearns when calculating a horse stride length that hoof 98 of the leadleg leaves the ground about every eighteen (18) specific image numbersapart (as calculated from FIG. 5 by subtracting specific image number124 from specific image number 142) the user can set the OPTIONAL FIELDequal to eighteen (18). Thence, when the user points and clicks atposition Y, the specific image numbers displayed will retard by eighteen(18). Conversely, if they point and click at position Z, the specificimage numbers displayed on the image window will advance by eighteen(18). As an example, FIG. 9 shows a specific image number 48 (referencenumber 177) displayed in the image window 179. If a user were to clickat position Y, with the OPTIONAL FIELD set to eighteen (18), thespecific image number would become 48−18 or specific image number 30. Bypointing and clicking at position Z, the specific image number wouldbecome 48+18 or specific image number 66. Users may set the OPTIONALFIELD to any desired number of specific image numbers.

Bearing in mind that an image frame may comprise tens of thousands ofdiscrete images, two flags 200, 202 are provided to set a range ofspecific image numbers viewable by the scroll bar 120 at any given time.During use, a user simply hooks the flags 200, 202 with their pointingdevice and drags them to some desired upper and lower specific imagenumber. By looking at the specific image number displayed in the imagewindow 179, a user can cross-reference their set-flag selections. Oftentimes the images will have “dead-spaces” of images between activities toassist the user in this endeavor.

In still other embodiments, the invention contemplates tracking motionfor other subjects, such as bullets, cars, humans, trains, planes,animals, fish, athletes, or the like, in activities such as races, crashreconstruction, trajectories, assessment of habitats or other.

Finally, the foregoing description is presented for purposes ofillustration and description of the various aspects of the invention.The descriptions are not intended, however, to be exhaustive or to limitthe invention to the precise form disclosed. Accordingly, theembodiments described above were chosen to provide the best illustrationof the principles of the invention and its practical application tothereby enable one of ordinary skill in the art to utilize the inventionin various embodiments and with various modifications as are suited tothe particular use contemplated. All such modifications and variationsare within the scope of the invention as determined by the appendedclaims when interpreted in accordance with the breadth to which they arefairly, legally and equitably entitled.

1. In a computer system, a method for tracking motion, comprising:receiving a plurality of discrete images from a camera having captured asubject in an activity; providing an event window having at least twocells for receiving a user input, each of said at least two cellspertaining to an action of said subject in said activity; in one of saidat least two cells, receiving a first indication from a user regarding afirst specific image number corresponding to one of said plurality ofdiscrete images; in said one of said at least two cells, receiving afirst estimate from said user regarding a first fraction of said firstspecific image number; in the other of said at least two cells,receiving a second indication from said user regarding a second specificimage number corresponding to another of said plurality of discreteimages; in said other of said at least two cells, receiving a secondestimate from said user regarding a second fraction of said secondspecific image number.
 2. The method of claim 1, further includingcomparing said one of said plurality of discrete images and a one largerdiscrete image to arrive at said first estimate.
 3. The method of claim1, further including comparing said one another of said plurality ofdiscrete images and a one larger discrete image to arrive at said secondestimate.
 4. The method of claim 1, wherein said event window furtherincludes a delta cell and said first indication and said first estimatetogether equal a first entry and said second indication and said secondestimate together equal a second entry, displaying a difference betweensaid first entry and said second entry in said delta cell.
 5. The methodof claim 1, wherein said event window further includes a delta averagecell displaying an average of said delta cell.
 6. The method of claim 1,wherein said event window further includes a scroll bar for navigatingin said event window.
 7. The method of claim 1, further includingcompiling a profile of said subject from said first and secondindications and said first and second estimates.
 8. The method of claim7, further including comparing said profile of said subject to a storedprofile.
 9. In a computer system, a method for tracking motion,comprising: a) receiving a plurality of discrete images from a camerahaving captured a subject in an activity; b) providing an event windowhaving at least two cells for receiving a user input, each of said atleast two cells pertaining to a single action of said subject in saidactivity, said event window further including a delta cell and a deltaaverage cell; c) in one of said at least two cells, receiving a firstindication from a user regarding a first specific image numbercorresponding to one of said plurality of discrete images; d) comparingsaid one of said plurality of discrete images and a first one largerdiscrete image to achieve a first estimate regarding a first fraction ofsaid first specific image number; e) in said one of said at least twocells, receiving said first estimate from said user; in the other ofsaid at least two cells, receiving a second indication from said userregarding a second specific image number corresponding to another ofsaid plurality of discrete images; f) comparing said another of saidplurality of discrete images and a second one larger discrete image toachieve a second estimate regarding a second fraction of said secondspecific image number; g) in said other of said at least two cells,receiving said second estimate from said user; and h) wherein said firstindication and said first estimate together equal a first entry and saidsecond indication and said second estimate together equal a secondentry, displaying a difference between said first entry and said secondentry in said delta cell.
 10. The method of claim 9, further includingcompiling a profile of said subject from said first and second entries.11. The method of claim 10, further including comparing said profile ofsaid subject to a stored profile.
 12. The method of claim 9, furtherincluding repeating steps a) through h) for a plurality of othersubjects.
 13. The method of claim 12, further including compiling aplurality of other profiles for each of said plurality of othersubjects.
 14. The method of claim 13, further including comparing saidplurality of other profiles to at least one stored profile.
 15. Themethod of claim 14, after said comparing said plurality of otherprofiles to at least one stored profile, selecting a best profile fromsaid plurality of other profiles.
 16. A computer-readable medium havingcomputer executable instructions stored thereon for performing the stepsof claim
 15. 17. A computer-readable medium having computer-executableinstructions for performing steps comprising: receiving a plurality ofdiscrete images from a camera having captured a subject in an activity;providing an event window having at least two cells for receiving a userinput, each of said at least two cells pertaining to an action of saidsubject in said activity; in one of said at least two cells, receiving afirst indication from a user regarding a first specific image numbercorresponding to one of said plurality of discrete images; in said oneof said at least two cells, receiving a first estimate from said userregarding a first fraction of said first specific image number; in theother of said at least two cells, receiving a second indication fromsaid user regarding a second specific image number corresponding toanother of said plurality of discrete images; in said other of said atleast two cells, receiving a second estimate from said user regarding asecond fraction of said second specific image number.
 18. Thecomputer-readable medium of claim 17, further including calculating adelta value between said user inputs received in each said at least twocells.
 19. The computer-readable medium of claim 18, further includingdisplaying said delta value in a delta cell of said event window. 20.The computer-readable medium of claim 17, further including compiling aprofile of said subject based upon said user inputs.
 21. Thecomputer-readable medium of claim 20, further including comparing saidprofile of said subject to a stored profile.